Title :
KASSPER analysis of 2.D parametric STAP performance: Further results on time-varying autoregressive “Relaxations”
Author :
Abramovich, Yuri I. ; Rangaswamy, Muralidhar ; Corbell, Phillip M. ; Johnson, Ben A. ; Spencer, Nicholas K.
Author_Institution :
ISR Div., DSTO, Adelaide, SA
Abstract :
We continue our investigation into the new class of two-dimensional autoregressive relaxed models (ldquorelaxationsrdquo) for space-time adaptive processing (STAP) applications. Previously reported results on the DARPA KASSPER simulated dataset for airborne side-looking radar are now complemented by STAP performance analysis for all range bins and varying antenna-array errors. We discuss the variability of signal-to-interference-plus-noise ratio (SINR) performance associated with the changing terrain conditions across all 1000 KASSPER range bins, and more closely investigate the impact of antenna errors and training data inhomogeneity. Performance improvements due to the previously proposed regularisation of the parametric models are also demonstrated in more detail.
Keywords :
antenna arrays; interference (signal); space-time adaptive processing; 2D parametric STAP performance; KASSPER analysis; STAP; antenna-array error; signal-to-interference-plus-noise ratio; space-time adaptive processing application; time-varying autoregressive relaxation; training data inhomogeneity; Airborne radar; Antenna arrays; Australia; Covariance matrix; Filters; Parametric statistics; Performance analysis; Radar antennas; Signal to noise ratio; Solid modeling;
Conference_Titel :
Radar, 2008 International Conference on
Conference_Location :
Adelaide, SA
Print_ISBN :
978-1-4244-2321-7
Electronic_ISBN :
978-1-4244-2322-4
DOI :
10.1109/RADAR.2008.4653908